Altmetrics for the identification of scientific controversiesThe case of NeuroGenderings and neurosexism

  1. María Aguilar-Soto 1
  2. Nicolás Robinson-García 1
  3. Benjamín Vargas-Quesada 1
  1. 1 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

Aldizkaria:
El profesional de la información

ISSN: 1386-6710,  1699-2407

Argitalpen urtea: 2023

Zenbakien izenburua: Political polarization

Alea: 32

Zenbakia: 6

Mota: Artikulua

DOI: 10.3145/EPI.2023.NOV.10 DIALNET GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: El profesional de la información

Laburpena

Este trabajo plantea una propuesta metodológica para el análisis de controversias sociales relacionadas con la biblio-grafía científica. Esta metodología consta de tres partes claramente diferenciadas. Primero, identificamos la estructura cognitiva de un conjunto de trabajos científicos. Para ello, se crea un historiograma a través del análisis de las referencias emitidas por los trabajos seminales. Esto permite ampliar el set de trabajos sobre los que trabajar para posteriormente hacer un análisis de co-palabras que permita identificar la estructura cognitiva del ámbito científico a explorar. En segundo lugar, obtenemos menciones sociales a esta bibliografía científica haciendo uso de las denominadas altmétricas. Esto nos permite extraer para documento científico las menciones que se hacen al mismo desde entornos no académicos. Finalmente, aplicamos la técnica de análisis de sentimiento a las menciones para poder identificar focos de menciones de carácter negativo. Testeamos esta metodología sobre el caso de estudio de NeuroGenderings, un movimiento del ámbito de la neurociencia que denuncia la falta de evidencia científica en los trabajos que señalan la existencia de diferencias cerebrales motivadas por el sexo biológico de los sujetos. Nuestros resultados confirman la viabilidad de este tipo de aproximaciones que permiten identificar las líneas de investigación en las que se produce mayor controversia. Aunque nuestro estudio se circunscribe al análisis de controversias en noticias, blogs, Facebook, Wikipedia y Reddit, la metodología es exportable a otros ámbitos y plataformas sociales.

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